Tsinghua photo

Tsinghua University
Beijing, China

Tsinghua University is situated around Tsinghua garden, originally an imperial garden of Qing dynasty, in the northwestern suburbs of Beijing. The University was instituted in 1911, originally under the name of Tsinghua Xuetang, as a preparatory school for students who would be sent by the government to study in the United States.

Tsinghua University is one of the national key universities in China, comprising disciplines in sciences, engineering, management, humanities and social sciences, law, arts and design, as well as medical science. 49 disciplines are listed as National Key Disciplines. There are 13 schools and 54 departments, offering 61 Bachelor’s programs, 198 Master’s programs and 181 Doctoral programs.

At present, Tsinghua has over 30,000 undergraduate and master’s students, and 5,156 PhD candidates. It has over 2,800 faculty members, including 34 academicians of the Chinese Academy of Sciences and 30 academicians of the Chinese Academy of Engineering. There are also one Nobel Laureate and one Turing Laureate among the faculty. Tsinghua University’s main research areas are information science and technology, life science, new materials, energy, environmental science, advanced manufacturing.

Website: https://www.tsinghua.edu.cn/en/

VSE Season 2, 2024-25: Courses offered by Tsinghua University


Important - Read Before Applying

Before applying, please make sure you understand the following enrolment restrictions set by the course offering university:

Each student can apply and enroll in ONE academic course offered by Tsinghua University at VSE Season 2, 2024-25 only.



Application Deadline

Students must submit an application to the VSE Central Office before:
Feb 3, 2025 12:00 noon Hong Kong Time (UTC+8)



Course Information

Course information posted on this page are provided by the course offering university and may be changed or updated anytime without prior notice.

Click on the course titles to reveal full course details:

Number of Credits3
Offering DepartmentSchool of Civil Engineering
Course TeacherBan Huiyong
Language of InstructionEnglish
First Day of ClassFeb 21, 2025
Last Day of ClassJun 6, 2025
Course ComponentLecture
Mode of TeachingSynchronous
Meeting TimeFri 0950-1215
Time ZoneUTC+08
Course Description

This course is one of the most important specialised courses for undergraduates majoring in civil engineering. It mainly introduces principles of mechanism and design methods by means of lectures. More specifically, the contents include:

  1. characteristics and advantages of steel structures, their development and application as well as basic requirements for their design;
  2. manufacturing process, mechanical properties and selection of steel structural materials;
  3. connections in steel structures, and fundamental behaviour, mechanical analysis, design method and configuration requirements of both welded and bolted connections;
  4. failure modes of steel members subjected to axial loadings, design theories of their strength, stiffness, overall and local buckling, as well as design and checking of their cross-sections;
  5. flexural behaviour of steel members including calculation of their strength, stiffness, flexural-torsional buckling and local buckling within flanges and web, as well as design of cross-sections and configuration requirements of hot-rolled and welded steel beams;
  6. mechanical performance of steel members subjected to bending with tension or compression in combination, including calculation method of their strength and buckling and configuration details;
  7. typical joints in steel frame structures and their loading capacities, configurations. National standards are also incorporated in this course, including the China's one and the European and American ones.
Course Outline

30030493

Course Prerequisites/Restrictions

Material Mechanics, Structural Mechanics.

Points to Note for Students

N/A

Fees to be Borne by Students

N/A

Number of Credits2
Offering DepartmentSchool of Civil Engineering
Course TeacherGu Chen
Language of InstructionEnglish
First Day of ClassFeb 17, 2025
Last Day of ClassJun 2, 2025
Course ComponentLecture
Mode of TeachingSynchronous
Meeting TimeMon 1920-2055
Time ZoneUTC+08
Course Description

Mathematical modeling and data analysis are key technologies in broad areas of science and engineering. This course will cover numerical methods for mathematical modeling, fundamentals and algorithms for machine learning, and statistical and computational inverse problems. Each theoretical lecture will be followed by a computational lab session to implement the formula- and algorithm-based method with a programming language. The assessment consists of Assignments 60% and group work 40%.

Course Outline

TBA

Course Prerequisites/Restrictions

Calculus, Linear Algebra, Differential Equations.

Points to Note for Students

N/A

Fees to be Borne by Students

N/A

Number of Credits2
Offering DepartmentDepartment of Electronic Engineering
Course TeacherYuan Shen
Language of InstructionEnglish
First Day of ClassFeb 18, 2025
Last Day of ClassJun 3, 2025
Course ComponentLecture
Mode of TeachingSynchronous
Meeting TimeTue 0950-1215
Time ZoneUTC+08
Course Description

This course will introduce students to the modelling, quantification, and analysis of uncertainty. Topics covered include: formulation and solution in sample space, random variables, transform techniques, simple stochastic processes and their probability distributions, and limit theorems.

Course Outline

30231002

Course Prerequisites/Restrictions

Calculus, Linear algebra.

Points to Note for Students

N/A

Fees to be Borne by Students

N/A

Number of Credits3
Offering DepartmentDepartment of Electronic Engineering
Course TeacherCheng Ma
Language of InstructionEnglish
First Day of ClassFeb 21, 2025
Last Day of ClassJun 6, 2025
Course ComponentLecture
Mode of TeachingSynchronous
Meeting TimeFri 0950-1215
Time ZoneUTC+08
Course Description

Electromagnetic field and wave is the theoretical foundation for the studies of electrical circuits, optics, photonics, microwave systems, etc. It provides the basic method and tool for understanding, analyzing, and solving problems involving electromagnetism. The course will introduce vector analysis, Maxwell's equations, Lorentz force, electrostatics and magnetostatics, electrodynamics, propagation of EM waves, and radiation. Beside basic principles, the course will introduce a number of examples including electrical circuits, optical and RF waveguides, antenna, and electrical measurement in biomedical applications, such that the students can implement the theory to solve real-world problems.

Course Outline

30231053

Course Prerequisites/Restrictions

Calculus, University Physics.

Points to Note for Students

N/A

Fees to be Borne by Students

N/A

Number of Credits3
Offering DepartmentSchool of Economics and Management
Course TeacherTao Shen
Language of InstructionEnglish
First Day of ClassFeb 17, 2025
Last Day of ClassJun 2, 2025
Course ComponentLecture
Mode of TeachingSynchronous
Meeting TimeMon 1330-1605
Time ZoneUTC+08
Course Description

Firms compete in Consumer & Business Markets to sell their products & services, and they also compete in Capital Markets for the resources required to operate their business.  Investors provide the capital (resources) to companies with the expectation that they will earn a competitive return on their capital and compensate them for risk. A consumer or business manager is continuously faced with financial choices and meeting the demands of both of these arenas of competition.  

For the consumer these choices include, among others, financing a purchase, saving for retirement and evaluating investment products.  For a business manager the choices include deciding which projects to pursue and alternative approaches to provide funds for these projects.  Finance is the study of a framework that can be used to evaluate these choices consistent with the necessity of competing for investor capital.  Regardless of your ultimate career, a solid understanding of the fundamentals of finance, will serve you well.

Course Outline

30511053

Course Prerequisites/Restrictions

Principle of Accounting.

Points to Note for Students

N/A

Fees to be Borne by Students

N/A

Number of Credits2
Offering DepartmentSchool of Humanities
Course TeacherDag Westerståhl
Language of InstructionEnglish
First Day of ClassFeb 17, 2025
Last Day of ClassApr 9, 2025
Course ComponentLecture
Mode of TeachingSynchronous
Meeting TimeMon, Wed 1520-1655
Time ZoneUTC+08
Course Description

The course presents basic facts which lie at the foundation of modern logic. First, we show that first-order logic itself is complete, in the sense that there is a simple system of axioms and rules (that we present) which derives all logical consequences of any given premises. Then we look at theories expressed in this language. After a glimpse of what one can say about models of such theories, we present Gödel's famous incompleteness theorems: in any axiomatic theory, which is free from contradiction and contains a bare minimum of arithmetic, there are true statements which cannot be proved in the theory. The methods used to show this lead to other important facts, such as Tarski's theorem on the undefinability of truth, and the fact that the freedom of contradiction of such a theory cannot be proved in the theory itself (the second incompleteness theorem). We discuss the philosophical import of these results, but our main focus is on how they are established. Finally, we show that first-order logic is undecidable: there is no effective method (computer program) which can decide, for any premises and conclusion, if the conclusion follows logically from the premises or not.

Course Outline

30690552

Course Prerequisites/Restrictions

It is assumed that students have some understanding of the elementary content of logic, but there is no strict requirement.

Points to Note for Students

N/A

Fees to be Borne by Students

N/A

Number of Credits2
Offering DepartmentSchool of Humanities
Course TeacherJeremy Seligman
Language of InstructionEnglish
First Day of ClassApr 14, 2025
Last Day of ClassJun 4, 2025
Course ComponentLecture
Mode of TeachingSynchronous
Meeting TimeMon, Wed 1520-1655
Time ZoneUTC+08
Course Description

Among branches of modern logic, modal logic provides a nice balance of expressivity and complexity, allowing it to be applied widely and extensively in many fields ranging from humanities to software design. In this course, ideas and methods of modal logic will be introduced along with its famous applications in modeling time, knowledge, necessity, and social behaviors. In this thread, student will be led into environments similar to research, in which ideas and needs from theoretical side and practical side frequently interact. Pointers will be given to standard textbooks/handbooks as well as notable papers, and with knowledge and skills introduced in this course, students with further interests should in principle be able to explore by their own. This course aims to student who more or less have learnt some logic, but this is not strictly required.

Course Outline

30690562

Course Prerequisites/Restrictions

No mandatory prerequisites required. Students are expected to have a certain understanding of the language and semantics of propositional and predicate logic, be able to correctly use mathematical concepts such as sets, graphs, relations, and functions, and be interested in philosophical issues and willing to participate in discussions.

Points to Note for Students

N/A 

Fees to be Borne by Students

N/A 

Number of Credits3
Offering DepartmentSchool of Economics and Management
Course TeacherYingzi Zhu
Language of InstructionEnglish
First Day of ClassFeb 17, 2025
Last Day of ClassJun 2, 2025
Course ComponentLecture
Mode of TeachingSynchronous
Meeting TimeMon 0950-1215
Time ZoneUTC+08
Course Description

Help Student to understand the basic principles, analytical and valuation tools for investment in financial markets. Students will understand the nature and trading process of securities, notion of risk and return, diversification, portfolio efficiency, market efficiency, popular asset pricing models and valuation methods for investment products such as stocks and bonds. They will also understand the financial markets, financial intermediations, and asset pricing methodology.

Course Outline

40511423

Course Prerequisites/Restrictions

N/A

Points to Note for Students

N/A

Fees to be Borne by Students

N/A

Number of Credits3
Offering DepartmentDepartment of Astronomy
Course TeacherORMEL Christiaan Wessel
Language of InstructionEnglish
First Day of ClassFeb 20, 2025
Last Day of ClassJun 5, 2025
Course ComponentLecture
Mode of TeachingSynchronous
Meeting TimeThu 1920-2145
Time ZoneUTC+08
Course Description

Stars are the objects that have enabled us to learn how our universe works. There may be over 1022 starsin the universe and modern estimates indicate that most of these stars are accompanied by planets. This course aims to understand the formation, structure, and observational properties of stars and planets from elementary physical principles. Questions that will be addressed include: why do stars have a mass of about 1 solar mass, which conditions must be met for nuclear fusion, why are stars stable, how do planets form and what determines the size and composition of planets, how can we detect exoplanets, how do planetary bodies influence each other? In addressing these questions, the student will learn and apply a great number of concepts that shape our modern understanding of these objects.

Course Outline

40920013

Course Prerequisites/Restrictions

General physics and mathematics courses.

Points to Note for Students

N/A

Fees to be Borne by Students

N/A

Number of Credits3
Offering DepartmentVanke School of Public Health
Course TeacherSijiu Wang
Language of InstructionEnglish
First Day of ClassFeb 17, 2025
Last Day of Class2025-04-11
Course ComponentLecture
Mode of TeachingSynchronous
Meeting TimeMon, Fri 1330-1605
Time ZoneUTC+08
Course Description

This course introduces core principles of healthcare management, focusing on global and local healthcare challenges. Students will explore key topics such as healthcare systems, policy development, strategic management, quality improvement, and the integration of technology and innovation. Through case studies, presentations, and activities, the course emphasizes practical skills and critical thinking, with special attention to global aging and the Chinese healthcare system.

Course Outline

84000793

Course Prerequisites/Restrictions

N/A

Points to Note for Students

N/A

Fees to be Borne by Students

N/A



Before Making an Application

Make sure you have thoroughly read the information on this page and the Academics page before making an application. If you have a question, email us at [email protected] or contact the VSE Coordinators at your home university or course offering university.